Articles | Volume 18, issue 3
https://doi.org/10.5194/nhess-18-709-2018
https://doi.org/10.5194/nhess-18-709-2018
Research article
 | 
05 Mar 2018
Research article |  | 05 Mar 2018

Geomorphological evolution of landslides near an active normal fault in northern Taiwan, as revealed by lidar and unmanned aircraft system data

Kuo-Jen Chang, Yu-Chang Chan, Rou-Fei Chen, and Yu-Chung Hsieh

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by Editor and Referees) (17 Oct 2017) by Yuichi S. Hayakawa
AR by Kuo-Jen Chang on behalf of the Authors (26 Nov 2017)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (03 Dec 2017) by Yuichi S. Hayakawa
RR by Anonymous Referee #1 (15 Dec 2017)
ED: Publish subject to minor revisions (review by editor) (25 Dec 2017) by Yuichi S. Hayakawa
AR by Kuo-Jen Chang on behalf of the Authors (03 Jan 2018)  Author's response   Manuscript 
ED: Publish subject to technical corrections (29 Jan 2018) by Yuichi S. Hayakawa
AR by Kuo-Jen Chang on behalf of the Authors (29 Jan 2018)  Author's response   Manuscript 
Download
Short summary
Several remote sensing techniques, i.e., aerial photographs, drone images, and airborne lidar, were used in this study to decipher the morphological features of obscure landslides in volcanic regions and how the observed features may be used for understanding landslide occurrence, subsequent geomorphological evolution, and potential hazards. Two large-scale landslides were characterized and quantified in this study.
Altmetrics
Final-revised paper
Preprint